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Journal articles on the topic 'Case control design'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

POLIVKA, BARBARA J., and JENNIE T. NICKEL. "Case-Control Design." Nursing Research 41, no. 4 (1992): 250???254. http://dx.doi.org/10.1097/00006199-199207000-00013.

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2

Støer, NC, A. Salim, K. Bokenberger, I. Karlsson, and M. Reilly. "Is the matched extreme case–control design more powerful than the nested case–control design?" Statistical Methods in Medical Research 28, no. 6 (2018): 1911–23. http://dx.doi.org/10.1177/0962280218778624.

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For time-to-event data, the study sample is commonly selected using the nested case–control design in which controls are selected at the event time of each case. An alternative sampling strategy is to sample all controls at the same (pre-specified) time, which can either be at the last event time or further out in time. Such controls are the long-term survivors and may therefore constitute a more ‘extreme’ comparison group and be more informative than controls from the nested case–control design. We investigate this potential information gain by comparing the power of various ‘extreme’ case–co

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3

Fletcher, Astrid E. "Case-Control Design: Making the Case." American Journal of Ophthalmology 149, no. 4 (2010): 540–42. http://dx.doi.org/10.1016/j.ajo.2009.08.019.

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4

Bangdiwala, Shrikant I. "Basic epidemiology research designs II: case-control design." International Journal of Injury Control and Safety Promotion 26, no. 2 (2019): 200–202. http://dx.doi.org/10.1080/17457300.2019.1591663.

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5

Suissa, Samy. "THE CASE-TIME-CONTROL DESIGN." Epidemiology 6, no. 3 (1995): 248–53. http://dx.doi.org/10.1097/00001648-199505000-00010.

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6

Suissa, Samy. "The Case-Time-Control Design." Epidemiology 9, no. 4 (1998): 441–45. http://dx.doi.org/10.1097/00001648-199807000-00016.

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7

Salton, Aurélio T., Zhiyong Chen, and Minyue Fu. "Improved Servomechanism Control Design – Nonswitching Case." IFAC Proceedings Volumes 44, no. 1 (2011): 8614–19. http://dx.doi.org/10.3182/20110828-6-it-1002.00453.

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8

Wacholder, Sholom. "Design issues in case-control studies." Statistical Methods in Medical Research 4, no. 4 (1995): 293–309. http://dx.doi.org/10.1177/096228029500400403.

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9

Levin, Kate Ann. "Study design V. Case–control studies." Evidence-Based Dentistry 7, no. 3 (2006): 83–84. http://dx.doi.org/10.1038/sj.ebd.6400436.

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10

Pfeiffer, Ruth M., and Nilanjan Chatterjee. "On a Supplemented Case-Control Design." Biometrics 61, no. 2 (2005): 584–90. http://dx.doi.org/10.1111/j.1541-0420.2005.00319.x.

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11

Wacholder, Sholom, Debra T. Silverman, Joseph K. McLaughlin, and Jack S. Mandel. "Selection of Controls in Case-Control Studies: III. Design Options." American Journal of Epidemiology 135, no. 9 (1992): 1042–50. http://dx.doi.org/10.1093/oxfordjournals.aje.a116398.

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12

Ramos, Analía, Lilian Cristina Mendoza, Fernanda Rabasa, Ignasi Bolíbar, Teresa Puig, and Rosa Corcoy. "Case–control studies in diabetes. Do they really use a case–control design?" Acta Diabetologica 54, no. 7 (2017): 631–34. http://dx.doi.org/10.1007/s00592-016-0957-7.

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13

Kicielinski, Kimberly P. "Case-Control Study Design in Neurological Surgery." World Neurosurgery 161 (May 2022): 275–79. http://dx.doi.org/10.1016/j.wneu.2022.03.001.

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14

Santos, Venétia, and Maria Cristina Palmer Lima Zamberlan. "Control Room Ergonomic Design: Brazilian Case Studies." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (2000): 530–33. http://dx.doi.org/10.1177/154193120004402208.

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This article intends to present the role of Ergonomics as a support to automation processes on companies by presenting ten ergonomic studies for control rooms in public and private Brazilian companies (Hydroelectric, Petrochemical, Steel, Subway Trains and Cellulose industries). These projects were developed within the last ten years by ERGON Projects involved the diagnoses of the existing situation up to the ergonomic design of the future work situation. The first study was in 1987 and was restricted to the ergonomic work analyses in a hydroelectric plant control room. It was then part of a p

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15

Harvey, L. A. "Case-control studies: an efficient study design." Spinal Cord 57, no. 1 (2019): 1–2. http://dx.doi.org/10.1038/s41393-018-0234-4.

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16

Miller, A. B. "Dissent A valid nested case-control design?" Journal of Clinical Epidemiology 44, no. 7 (1991): 627–28. http://dx.doi.org/10.1016/0895-4356(91)90022-2.

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17

Liang, Kung-Yee, and Ann E. Pulver. "Analysis of case-control/family sampling design." Genetic Epidemiology 13, no. 3 (1996): 253–70. http://dx.doi.org/10.1002/(sici)1098-2272(1996)13:3<253::aid-gepi3>3.0.co;2-7.

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18

Patel, Rakesh B. "Centralized Control Room Design Using Loop Controller and Supervisory Control & Data Acquisition System (Scada): A Case Study." Indian Journal of Applied Research 4, no. 7 (2011): 200–202. http://dx.doi.org/10.15373/2249555x/july2014/61.

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19

Omair, Aamir. "Selecting the appropriate study design: Case–control and cohort study designs." Journal of Health Specialties 4, no. 1 (2016): 37. http://dx.doi.org/10.4103/1658-600x.173842.

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20

Breslow, N. "Design and Analysis of Case-Control and Case Cohort Studies." American Journal of Epidemiology 163, suppl_11 (2006): S170. http://dx.doi.org/10.1093/aje/163.suppl_11.s170-a.

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21

Doerken, Sam, Maja Mockenhaupt, Martin Schumacher, and Peggy Sekula. "Assessment of the “Case-Chaos” Design as an Adjunct to the Case-Control Design." American Journal of Epidemiology 179, no. 6 (2014): 775–80. http://dx.doi.org/10.1093/aje/kwt310.

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22

Kim, Young Min, and Jongho Im. "Cost-Effective Extreme Case-Control Design Using a Resampling Method." Evolutionary Bioinformatics 15 (January 2019): 117693431983882. http://dx.doi.org/10.1177/1176934319838821.

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Nested case-control sampling design is a popular method in a cohort study whose events are often rare. The controls are randomly selected with or without the matching variable fully observed across all cohort samples to control confounding factors. In this article, we propose a new nested case-control sampling design incorporating both extreme case-control design and a resampling technique. This new algorithm has two main advantages with respect to the conventional nested case-control design. First, it inherits the strength of extreme case-control design such that it does not require the risk

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23

Alekseev, A. S., S. V. Zamyatin, and V. A. Rudnicki. "Multi-loop control system design." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 3 (2012): 627–30. http://dx.doi.org/10.2478/v10175-012-0074-x.

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Abstract The approach based on a special case of the Laplace transform, which allows to design multi-loop system is considered. The tuning regulators program on the base of this approach is developed. The numerical example is shown.

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24

Wolkewitz, M., J. Beyersmann, M. Palomar-Martinez, et al. "Analysis of Clinical Cohort Data Using Nested Case-control and Case-cohort Sampling Designs." Methods of Information in Medicine 54, no. 06 (2015): 505–14. http://dx.doi.org/10.3414/me14-01-0113.

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SummaryBackground: Sampling from a large cohort in order to derive a subsample that would be sufficient for statistical analysis is a frequently used method for handling large data sets in epidemiological studies with limited resources for exposure measurement. For clinical studies however, when interest is in the influence of a potential risk factor, cohort studies are often the first choice with all individuals entering the analysis.Objectives: Our aim is to close the gap between epidemiological and clinical studies with respect to design and power considerations. Schoenfeld’s formula for th

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25

Nylén, Anders, Maria Henningsson, Anton Cervin, and Per Tunestål. "Control Design Based on FMI: a Diesel Engine Control Case Study." IFAC-PapersOnLine 49, no. 11 (2016): 231–38. http://dx.doi.org/10.1016/j.ifacol.2016.08.035.

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26

Wang, Xuan, Yingye Zheng, Majken Karoline Jensen, Zeling He, and Tianxi Cai. "Biomarker evaluation under imperfect nested case‐control design." Statistics in Medicine 40, no. 18 (2021): 4035–52. http://dx.doi.org/10.1002/sim.9012.

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27

Prentice, Ross L. "On the Design of Synthetic Case-Control Studies." Biometrics 42, no. 2 (1986): 301. http://dx.doi.org/10.2307/2531051.

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28

Mcneil, J. J., K. J. Ronaldson, P. B. Fitzgerald, A. J. Taylor, D. J. Topliss, and R. Wolfe. "Clozapine-induced myocarditis: characterisation using case-control design." European Heart Journal 34, suppl 1 (2013): P3863. http://dx.doi.org/10.1093/eurheartj/eht309.p3863.

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29

Mirchandani. "Case—Process Control and Design of Experiments/ANOVA." INFORMS Transactions on Education 10, no. 2 (2010): 74–97. http://dx.doi.org/10.1287/ited.1090.0041.

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30

Schildcrout, Jonathan S., Enrique F. Schisterman, Nathaniel D. Mercaldo, Paul J. Rathouz, and Patrick J. Heagerty. "Extending the Case–Control Design to Longitudinal Data." Epidemiology 29, no. 1 (2018): 67–75. http://dx.doi.org/10.1097/ede.0000000000000764.

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31

Cassar, May. "Case design and climate control: a typological analysis." Museum International 37, no. 2 (1985): 104–7. http://dx.doi.org/10.1111/j.1468-0033.1985.tb00562.x.

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32

Perne, Rainer, and Andreas Endesfelder. "Process analysis, design, and control — a case study -." Computers & Chemical Engineering 22 (March 1998): S1071. http://dx.doi.org/10.1016/s0098-1354(98)00212-9.

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33

BIEDERMANN, STEFANIE, EVA NAGEL, AXEL MUNK, HAJO HOLZMANN, and ANSGAR STELAND. "Tests in a Case?control Design Including Relatives." Scandinavian Journal of Statistics 33, no. 4 (2006): 621–35. http://dx.doi.org/10.1111/j.1467-9469.2006.00500.x.

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34

Mandrekar, Jayawant N., and Sumithra J. Mandrekar. "Case-Control Study Design: What, when, and why?" Journal of Thoracic Oncology 3, no. 12 (2008): 1371–72. http://dx.doi.org/10.1097/jto.0b013e31818dd97b.

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35

Goodman, Richard A., James A. Mercy, Peter M. Layde, and Stephen B. Thacker. "Case-control studies: Design issues for criminological applications." Journal of Quantitative Criminology 4, no. 1 (1988): 71–84. http://dx.doi.org/10.1007/bf01066885.

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36

Wacholder, Sholom, Raymond J. Carroll, David Pee, and Mitchell H. Gail. "The partial questionnaire design for case-control studies." Statistics in Medicine 13, no. 5-7 (1994): 623–34. http://dx.doi.org/10.1002/sim.4780130523.

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37

URUSHIHARA, Hisashi. "Case-control Design and Real-world Database Studies." Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku 28, no. 2 (2023): 57–72. http://dx.doi.org/10.3820/jjpe.28.57.

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38

LIU, Chun, Wei ZHANG, Hai-Yan ZHAO, and Zhi JIN. "“Use Case+Control Case” Driven Approach for Software Analysis and Design." Journal of Software 24, no. 4 (2014): 675–95. http://dx.doi.org/10.3724/sp.j.1001.2013.04275.

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39

Lacy, Michael G. "Efficiently Studying Rare Events: Case-Control Methods for Sociologists." Sociological Perspectives 40, no. 1 (1997): 129–54. http://dx.doi.org/10.2307/1389496.

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Case-control designs involve samples stratified disproportionately on a binary dependent variable. This design, though infrequently used by sociologists, offers tremendous logistical efficiency in the study of rare events, such as divorce, joining a religious cult, or committing a crime. This paper attempts to sensitize sociologists to the many situations in which this design is useful, and offers general and accessible guidance on the practice of case-control research. Using the epidemiologic literature, I explain the underlying logic of case-control design, discuss how to conduct case-contro

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40

Kaye, Keith S., Anthony D. Harris, Matthew Samore, and Yehuda Carmeli. "The Case-Case-Control Study Design: Addressing the Limitations of Risk Factor Studies for Antimicrobial Resistance." Infection Control & Hospital Epidemiology 26, no. 4 (2005): 346–51. http://dx.doi.org/10.1086/502550.

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AbstractObjective:There are significant limitations of the standard case-control study design for identifying risk factors for resistant organisms. The objective of this study was to develop a study design to overcome these limitations.Design:Theoretical analysis of different types of study designs that can be used in risk factor studies for resistant organisms.Results:We developed the case-case-control study design, which uses two separate case-control analyses within a single study. The first analysis compares patients infected with resistant bacteria (resistant cases) with control-patients

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41

Kicielinski, Kimberly P., Esther B. Dupépé, Amber S. Gordon, Nancy E. Mayo, and Beverly C. Walters. "What Isn’t a Case-Control Study?" Neurosurgery 84, no. 5 (2018): 993–99. http://dx.doi.org/10.1093/neuros/nyy591.

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Abstract BACKGROUND Confusion exists among neurosurgeons when choosing and implementing an appropriate study design and statistical methods when conducting research. We noticed particular difficulty with mislabeled and inappropriate case-control studies in the neurosurgical literature. OBJECTIVE To quantify and to rigorously review this issue for appropriateness in publication and to establish quality of the manuscripts using a rigorous technique. METHODS Following a literature search, pairs drawn from 5 independent reviewers evaluated a complete sample of 125 manuscripts claiming to be case-c

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42

Mascha, Maureen Francis, and Cathleen L. Miller. "Applying Internal Control Concepts Using Database Design: An Educational Case." AIS Educator Journal 19, no. 1 (2024): 1–16. https://doi.org/10.3194/1935-8156-19.1.1.

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Abstract This paper discusses a project that incorporates internal controls concepts and Access database design. The project consists of two parts—a written exercise and the database table creation. In part one (the written exercise), students match fields, threats, data entry controls, and Access property controls for the sales order entry activity from the revenue cycle using the sales order as the transaction. In part two, students create two data file tables designed to prevent and detect errors and threats at the field level of internal controls for the sales order entry transaction. The

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43

Dijkers, M. "Case-control studies false and true: Mislabeled study designs in rehabilitation research, and a master class in case-control study design." Journal of Rehabilitation Medicine 41, no. 4 (2009): 289–90. http://dx.doi.org/10.2340/16501977-0342.

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44

Kong, Yi Nan. "Adaptive Temperature Control Systems Design." Advanced Materials Research 538-541 (June 2012): 3149–53. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.3149.

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This paper presents an advanced low-cost temperature control system. The system takes the highest performance-cost ratio as its aim. It uses the low-cost 8-bit MCS-51 MCU and integrated temperature sensor to achieve the on-site control. A lower cost remote host computer can be used in this system. In the case of a relatively larger application, it can be expanded to a control system of master-slave distribution and utilize the computing and storage resources of the microcontroller. It realizes a wider range of temperature adjustment, and then put the state of the system into a database of the

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45

Alomi, Yousef Ahmed, Amal Hassan Al-Najjar, Maha Hussein Almadany, Fakhar Al-Ayoubi, Ghudair Tashan Alanazi, and Abeer Hussin Almasoudi. "Research Policy on Case-control and Cohort Study Design in Pharmaceutical Care." International Journal of Pharmacology and Clinical Sciences 11, no. 1 (2022): 25–30. http://dx.doi.org/10.5530/ijpcs.2022.11.6.

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46

Avedon, R. E., and B. A. Francis. "Digital Control Design Via Convex Optimization." Journal of Dynamic Systems, Measurement, and Control 115, no. 4 (1993): 579–86. http://dx.doi.org/10.1115/1.2899183.

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A design method for sampled-data systems is presented incorporating robust control theory and convex optimization techniques. The technique is developed using operator theory applied to the relevant input-output operators for both performance and stability robustness. Numerical algorithms and an example for the SISO case are presented to explore some traditional sampled-data design heuristics.

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47

HABER, M., Q. AN, I. M. FOPPA, D. K. SHAY, J. M. FERDINANDS, and W. A. ORENSTEIN. "A probability model for evaluating the bias and precision of influenza vaccine effectiveness estimates from case-control studies." Epidemiology and Infection 143, no. 7 (2014): 1417–26. http://dx.doi.org/10.1017/s0950268814002179.

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SUMMARYAs influenza vaccination is now widely recommended, randomized clinical trials are no longer ethical in many populations. Therefore, observational studies on patients seeking medical care for acute respiratory illnesses (ARIs) are a popular option for estimating influenza vaccine effectiveness (VE). We developed a probability model for evaluating and comparing bias and precision of estimates of VE against symptomatic influenza from two commonly used case-control study designs: the test-negative design and the traditional case-control design. We show that when vaccination does not affect

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48

Bonnett, Jonathan, Carmel Cuschieri, and Joseph M. Cuschieri. "Noise Control design for a Ventilation Fan - Case Study." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5731–39. http://dx.doi.org/10.3397/in-2021-3238.

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A ventilation system was design and installed for a multi story garage. The ventilation system system had a vertical concrete shaft with the ventilation fan located on the top floor at street level. The ventilation fan is separated from the outside by a set of metal louvers. Adjacent to the louvers is an open pedestrian area. The exhaust fan as installed had an inline duct silencer but this was insufficient in terms of providing the desired noise mitigation. The project desire was not to make changes to the fan or its inline silencer or the external louvers so an alternative noise mitigation o

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49

Wacholder, Sholom. "The Case-Control Study as Data Missing by Design." Epidemiology 7, no. 2 (1996): 144–50. http://dx.doi.org/10.1097/00001648-199603000-00007.

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50

Thrift, Amanda G. "Case-Control Studies: The Importance of Design and Conduct." Neuroepidemiology 34, no. 4 (2010): 264–66. http://dx.doi.org/10.1159/000297757.

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