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Books on the topic 'Research Design Sample Size'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Handbook of sample size guidelines for clinical trials. CRC Press, 1989.

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2

Shuster, Jonathan J. Practical handbook of sample size guidelines for clinical trials. CRC Press, 1992.

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3

Shuster, Jonathan J. Practical handbook of sample size guidelines for clinical trials. CRC Press, 1993.

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4

Odeh, Robert E. Sample size choice: Charts for experiments with linear models. 2nd ed. M. Dekker, 1991.

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5

Vinoth, Jagaroo, and Maxwell David L, eds. Handbook of statistical methods: Single subject design. Plural Pub., 2008.

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6

Waksberg, Joseph. Integration of sample design for the National Survey of Family Growth, Cycle IV with the National Health Interview Survey. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

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7

Chow, Shein-Chung. Sample size calculations in clinical research. 2nd ed. Chapman & Hall/CRC, 2007.

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8

1938-, Herrendörfer Günter, ed. Experimental design: Sample size determination and block designs. D. Reidel Pub. Co., 1986.

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9

Chow, Shein-Chung, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina. Sample Size Calculations in Clinical Research: Third Edition. Edited by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315183084.

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10

Verma, J. P., and Priyam Verma. Determining Sample Size and Power in Research Studies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5204-5.

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11

1961-, Heo Moonseoung, Zhang Song 1976-, and Kim, Mimi (Mimi Y.), eds. Sample size calculations for clustered and longitudinal outcomes in clinical research. CRC Press, Taylor & Francis, 2015.

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12

Lwanga, S. Kaggwa. Sample size determination in health studies: A practical manual. World Health Organization, 1991.

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13

Cohen, Steven B. Sample design of the institutional population component. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1993.

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14

Wilson, Ian. Young Lives: A case study of sample design for longitudinal research. Young Lives, 2003.

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15

Kruse, John A. Class size reduction project: Research design & year one work plan. The Institute, 1993.

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16

Hughes, William O. Statistical analysis of a large sample size pyroshock test data set. National Aeronautics and Space Administration, Lewis Research Center, 1997.

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17

Hughes, William O. Statistical analysis of a large sample size pyroshock test data set. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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18

Hughes, William O. Statistical analysis of a large sample size pyroshock test data set. National Aeronautics and Space Administration, Lewis Research Center, 1997.

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19

Pawson, T. W. Zooplankton data and sample archive database design for the Dorset Research Centre. Queen's Printer for Ontario, 1993.

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20

Mohanakumar, S. Poverty estimates and sampling design of NSSO: An exploratory analysis. Institute of Development Studies, 2013.

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21

Cohen, Steven B. Sample design of the 1997 Medical Expenditure Panel Survey, household component. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Healthcare Research and Quality, 2001.

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22

Pawson, T. W. Zooplankton data and sample archive database design for the Dorset Research Centre: Report. Queen's Printer for Ontario, 1993.

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23

Schreuder, Hans T. Annual design-based estimation for the annualized inventories of forest inventory and analysis: Sample size determination. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2000.

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24

Schreuder, Hans T. Annual design-based estimation for the annualized inventories of forest inventory and analysis: Sample size determination. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2000.

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25

Schreuder, Hans T. Annual design-based estimation for the annualized inventories of forest inventory and analysis: Sample size determination. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2000.

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26

Johnson, Clifford L. National health and nutrition examination survey: Sample design, 2011-2014 : data evaluation and methods research. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2014.

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27

National Center for Health Statistics (U.S.) and National Survey of Family Growth (U.S.), eds. The 2006-2010 National Survey of Family Growth: Sample design and analysis of a continuous survey. U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

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28

Bryant, E. Earl. Sample design, sampling variance, and estimation procedure for the National Ambulatory Medical Care Survey. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1988.

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29

Larsen, Ole Damgaard. Ship collision with bridges. International Association for Bridge and Structural Engineering (IABSE), 1993. http://dx.doi.org/10.2749/sed004.

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<p>Any struoture in navigable waters constitutes a hazard to shipping and is itself vulnerable to damage or destruction in the event of vessel collision. Worldwide vessel traffic and the average size of vessels continue to lncrease. At the same time, ever more bridges crossing navigable waterways are being planned and constructed, sometimes with inadequate navigation clearance and/or lnadequate protection.<p> The objective of this publication is to provide information and guidelinesfor engineers charged with the planning and design of new bridges, navlgation channels, and prevention and protection measures. Lt offers advice on up­grading and retrofrtting existing bridges and navigation channels. And lt provides the means to evaluate the safety of bridges, vessels, persons and the environment. <p>After reviewing some basics o! navigatlon and vessel traffic, and consider­ing risk acceptance and collision risk, the publication examines vessel impact forces on bridges and proposes appropriate bridge design criteria. Prevention measures, such as regulations and management systems. And protectlon measures and systems are also described. Major international research projects have provided the analytical basis for the publication, including the development of vessel collision guide specifi­c-atrons for the Federal Highway Administration in the USA and the vessel colllsion design crrteria developed for the Great Bell Crossing in Oenmark. <p>Prepared by Ole Damgaard LARSEN, Chairman of the IABSE Working Group "Ship Collision with Bridges'', lhis 132 page publlcation is a must for any engineer dealing with structures in navigable waters.
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30

Judkins, David R. National Survey of Family Growth: Design, estimation, and inference. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1991.

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31

Stanley, Lemeshow, and World Health Organization, eds. Adequacy of sample size in health studies. Published on behalf of the World Health Organization by Wiley, 1990.

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32

1939-, Machin David, ed. Sample size tables for clinical studies. 3rd ed. Wiley-Blackwell, 2008.

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33

Peacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Writing a research protocol. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.003.0003.

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Chapter 3 describes how to write a research protocol, including the background, study design, sample size calculations, and statistical analysis plan. It outlines the ethics/IRB approvals needed for research.
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34

Satake, Eike, Vinoth Jagaroo, and L. Ph D. Maxwell David. Handbook of Statistical Methods: Single Subject Design. Plural Publishing Inc, 2008.

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35

Peacock, Janet L., and Sally M. Kerry. Writing a research protocol. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780198599661.003.0003.

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Chapter 3 discusses writing a research proposal, and covers the development cycle, the title, primary and secondary aims, study design, sample sizes, statistical analysis, ethical approval, and where it can go wrong.
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36

National Survey of Family Growth, Cycle 6: Sample Design, Weighting, Imputation and Variance Estimation (Vital and Health Statistics). Dept. of Health and Human Services Centers fo, 2006.

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37

Weiss, Helen. Design issues in global mental health trials in low-resource settings. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199680467.003.0004.

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In this chapter we outline the key principles in design and analysis of trials for mental health. The chapter focuses on randomized controlled trials as these are the gold-standard trial design, which minimizes confounding due to other factors and enables us to draw conclusions about the effectiveness of the intervention. Other key principles of trial design discussed in the chapter include methods to develop a clearly stated, testable research hypothesis, definition of well-defined outcomes, appropriate choice of the control condition, masking of providers and participants where possible, realistic sample size estimates, and appropriate data monitoring and statistical analysis plans. The chapter also outlines alternatives to the parallel arm superiority trial design, such as equivalence and non-inferiority trials, cross-over, stepped wedge, fixed adaptive, and patient preference trial designs.
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38

1955-, Chow Shein-Chung, Shao Jun, and Wang Hansheng 1977-, eds. Sample size calculations in clinical research. Marcel Dekker, 2003.

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39

1955-, Chow Shein-Chung, Shao Jun, and Wang Hansheng 1977-, eds. Sample size calculations in clinical research. 2nd ed. Taylor & Francis, 2008.

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40

Chow, Shein-Chung, Hansheng Wang, and Jun Shao. Sample Size Calculations in Clinical Research. CRC Press, 2003. http://dx.doi.org/10.1201/9780203911341.

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41

Chow, Shein-Chung, Hansheng Wang, and Jun Shao. Sample Size Calculations in Clinical Research. Chapman and Hall/CRC, 2007. http://dx.doi.org/10.1201/9781584889830.

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42

Sample Design in Business Research. Wiley-Interscience, 1990.

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43

R, Judkins David, Urban Institute, Westat inc, Assessing the New Federalism (Program), and Child Trends Incorporated, eds. 1997 NSAF sample design. Urban Institute, 1999.

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44

Peacock, Janet, and Philip Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2010. http://dx.doi.org/10.1093/med/9780199551286.001.0001.

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Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, using examples from published research.
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45

Prout, Jeremy, Tanya Jones, and Daniel Martin. Statistical basis of clinical trials. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609956.003.0009.

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This chapter summarizes some aspects of study design and statistical analysis to allow the anaesthetist to appraise research. Types of observational study are described and aspects of interventional studies such as sample size calculation and power are explained. Research governance, phases of drug trials and levels of evidence are described. A section on statistical analysis includes expression of proportion for binary data (odds ratio, number needed to treat) and use of probability and confidence intervals to measure statistical significance.
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46

Peacock, Janet L., and Sally M. Kerry. Introduction. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780198599661.003.0001.

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Chapter 1 gives and introduction and description of the resource in general, and describes the presentation of required statistical information through the entire research process, from the development of the research proposal, through to applying for ethical approval, to analysing the data, and then writing up the results. We use the term ‘statistical information’ to include describing the study design, the calculation of sample size, and data processing, as well as the data analysis and reporting of results. It is written for researchers in medicine and in the professions allied to medicine.
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47

Powell, Roger A., Stephen Ellwood, Roland Kays, and Tiit Maran. Stink or swim: techniques to meet the challenges for the study and conservation of small critters that hide, swim, or climb, and may otherwise make themselves unpleasant. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198759805.003.0008.

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The study of musteloids requires different perspectives and techniques than those needed for most mammals. Musteloids are generally small yet travel long distances and many live or forage underground or under water, limiting the use of telemetry and direct observation. Some are arboreal and nocturnal, facilitating telemetry but limiting observation, trapping, and many non-invasive techniques. Large sexual size dimorphism arguably doubles sample sizes for many research questions. Many musteloids defend themselves by expelling noxious chemicals. This obscure group does not attract funding, even when endangered, further reducing rate of knowledge gain. Nonetheless, passive and active radio frequency identification tags, magnetic-inductance tracking, accelerometers, mini-biologgers and some GPS tags are tiny enough for use with small musteloids. Environmental DNA can document presence of animals rarely seen. These technologies, coupled with creative research design that is well-grounded on the scientific method, form a multi-dimensional approach for advancing our understanding of these charismatic minifauna.
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48

McCarthy, P. M. Sample Design for Load Research-Current Practice and Methods. EPRI, 1985.

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49

Peacock, Janet L., and Phil J. Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198743583.001.0001.

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A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics, second edition, has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a ‘statistical Bible’, this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics. Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others' work.
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50

Verma, J. P., and Priyam Verma. Determining Sample Size and Power in Research Studies: A Manual for Researchers. Springer, 2020.

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