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Journal articles on the topic 'Logistisk regression'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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1

O'Neill, Lotte Dyhrberg, Mette Krogh Christensen, Maria Cecilie Vonsild, and Birgitta Wallstedt. "Program specific admission testing and dropout for sports science students: a prospective cohort study." Dansk Universitetspædagogisk Tidsskrift 9, no. 17 (September 1, 2014): 55–70. http://dx.doi.org/10.7146/dut.v9i17.15540.

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Recent research in medical education suggests that program specific admission testing could have a protective effect against early dropout. Little is known about the effect of program specific admission testing on dropout in other areas of higher education. The aim of this paper was to examine if admission strategy was also independently associated with dropout for sports science students in a university setting. The study design was a prospective cohort study with a 2 year follow-up. The population was 449 sports science students admitted to a university in the years 2002-2007. The analysis used was multivariate logistic regression and the predictors examined were: admission group (grade-based or admission tested) as well as educational and socio-demographic variables. The outcome was dropout within 2 years of study start. Admission testing offered superior protection against dropout compared to grade-based admission. This result may fit with elements of previous dropout theory, student-environment fit theory and perhaps also with self-efficacy theory. Nyere forskning inden for medicinsk uddannelse indikerer at uddannelsesspecifikke optagelsesprøver kan have en beskyttende effekt i forhold til tidligt studiefrafald, men for andre universitetsuddannelser end Medicin synes denne sammenhæng endnu ikke at være blevet grundigt belyst. Formålet med dette studie var derfor at undersøge, om optagelsesprøver også beskyttede mod tidligt frafald blandt idrætsstuderende på universitetet. Studiedesignet var et prospektivt kohortestudie med to års opfølgning. Populationen var 449 idrætsstuderende, som blev optaget på Syddansk Universitet i årene 2002-2007. Data blev analyseret med multivariat logistisk regression, og følgende typer af prædiktorer for frafald blev undersøgt: Optagelseskvote (kvote 1 eller kvote 2 udprøvede), andre uddannelsesrelaterede variable samt udvalgte socio-demografiske variable. Effektmålet var studiestatus (frafaldet/ikke-frafaldet) to år efter studiestart. Vi fandt, at optagelsesprøver (kvote 2 udprøvning) virkede beskyttende i forhold til tidligt studiefrafald på idrætsstudiet sammenlignet med karakterbaseret optagelse (kvote 1 optagelse). Dette resultat kunne være i overensstemmelse med dele af allerede eksisterende frafaldsteorier, student-environment fit teori og måske også med self-efficacy teori.
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2

Řeháková, Blanka. "Kontrasty v logistické regresi [Contrasts in Logistic Regression]." Czech Sociological Review 44, no. 4 (August 1, 2008): 745–66. http://dx.doi.org/10.13060/00380288.2008.44.4.07.

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3

Pir Bavaghar, M. "Deforestation modelling using logistic regression and GIS." Journal of Forest Science 61, No. 5 (June 3, 2016): 193–99. http://dx.doi.org/10.17221/78/2014-jfs.

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4

Řeháková, Blanka. "Introducing Logistic Regression." Czech Sociological Review 36, no. 4 (August 1, 2000): 475–92. http://dx.doi.org/10.13060/00380288.2000.36.4.06.

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5

Rani, K. Sandhya, M. Sai Manoj, and G. Suguna Mani. "A Heart Disease Prediction Model using Logistic Regression." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1463–66. http://dx.doi.org/10.31142/ijtsrd11401.

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6

Hersh, A., and T. B. Newman. "Logistic Regression." AAP Grand Rounds 30, no. 5 (November 1, 2013): 55. http://dx.doi.org/10.1542/gr.30-5-55.

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7

Pagano, Marcello. "Logistic regression." Nutrition 12, no. 2 (February 1996): 135. http://dx.doi.org/10.1016/s0899-9007(97)85056-4.

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8

Sedgwick, P. "Logistic regression." BMJ 347, jul12 2 (July 12, 2013): f4488. http://dx.doi.org/10.1136/bmj.f4488.

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9

Sainani, Kristin L. "Logistic Regression." PM&R 6, no. 12 (December 2014): 1157–62. http://dx.doi.org/10.1016/j.pmrj.2014.10.006.

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10

LaValley, Michael P. "Logistic Regression." Circulation 117, no. 18 (May 6, 2008): 2395–99. http://dx.doi.org/10.1161/circulationaha.106.682658.

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11

Debanne, Sara M., and Douglas Y. Rowland. "Logistic regression." Gastrointestinal Endoscopy 55, no. 1 (January 2002): 0142–43. http://dx.doi.org/10.1067/mge.2002.119725.

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12

Debanne, Sara M., and Douglas Y. Rowland. "Logistic regression." Gastrointestinal Endoscopy 55, no. 1 (January 2002): 142–43. http://dx.doi.org/10.1067/mge.2002.120659a.

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13

Tolles, Juliana, and William J. Meurer. "Logistic Regression." JAMA 316, no. 5 (August 2, 2016): 533. http://dx.doi.org/10.1001/jama.2016.7653.

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14

Grégoire, G. "Logistic Regression." EAS Publications Series 66 (2014): 89–120. http://dx.doi.org/10.1051/eas/1466008.

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15

Lever, Jake, Martin Krzywinski, and Naomi Altman. "Logistic regression." Nature Methods 13, no. 7 (June 29, 2016): 541–42. http://dx.doi.org/10.1038/nmeth.3904.

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16

Hess, Aaron S., and John R. Hess. "Logistic regression." Transfusion 59, no. 7 (June 18, 2019): 2197–98. http://dx.doi.org/10.1111/trf.15406.

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17

Davis, Leo J., and Kenneth P. Offord. "Logistic Regression." Journal of Personality Assessment 68, no. 3 (June 1997): 497–507. http://dx.doi.org/10.1207/s15327752jpa6803_3.

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18

Fearn, Tom. "Logistic Regression." NIR news 11, no. 2 (April 2000): 4–5. http://dx.doi.org/10.1255/nirn.557.

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19

Wieland, G. Darryl, and James Sayre. "Logistic Regression." Journal of the American Geriatrics Society 35, no. 6 (June 1987): 596–97. http://dx.doi.org/10.1111/j.1532-5415.1987.tb01411.x.

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20

Ostir, Glenn V., and Tatsuo Uchida. "Logistic Regression." American Journal of Physical Medicine & Rehabilitation 79, no. 6 (November 2000): 565–72. http://dx.doi.org/10.1097/00002060-200011000-00017.

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21

Elasan, Sadi, and Sıddık Keskin. "An application with multinomial logistic regression analysisMultinomiyal logistik regresyon analizi ile bir uygulama." International Journal of Human Sciences 12, no. 1 (January 26, 2015): 443. http://dx.doi.org/10.14687/ijhs.v12i1.3140.

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22

Fatah, Khwazbeen S., and Rzgar F. Mahmood. "Parameter Estimation for Binary Logistic Regression Using Different Iterative Methods." Journal of Zankoy Sulaimani - Part A 19, no. 2 (November 20, 2016): 175–84. http://dx.doi.org/10.17656/jzs.10621.

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23

FitzGerald, Patrick E. B., and Matthew W. Knuiman. "Interpretation of Regressive Logistic Regression Coefficients in Analyses of Familial Data." Biometrics 54, no. 3 (September 1998): 909. http://dx.doi.org/10.2307/2533845.

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24

Scott, A. J., D. W. Hosmer, and S. Lemeshow. "Applied Logistic Regression." Biometrics 47, no. 4 (December 1991): 1632. http://dx.doi.org/10.2307/2532419.

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25

O'Neill, Terence J., and Simon C. Barry. "Truncated Logistic Regression." Biometrics 51, no. 2 (June 1995): 533. http://dx.doi.org/10.2307/2532941.

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26

Gortmaker, Steven L., David W. Hosmer, and Stanley Lemeshow. "Applied Logistic Regression." Contemporary Sociology 23, no. 1 (January 1994): 159. http://dx.doi.org/10.2307/2074954.

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27

Cucchiara, Andrew, D. Hosmer, and S. Lemeshow. "Applied Logistic Regression." Technometrics 34, no. 3 (August 1992): 358. http://dx.doi.org/10.2307/1270048.

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28

Flury, Bernard D., and Edward P. Levri. "PERIODIC LOGISTIC REGRESSION." Ecology 80, no. 7 (October 1999): 2254–60. http://dx.doi.org/10.1890/0012-9658(1999)080[2254:plr]2.0.co;2.

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29

Koletsi, Despina, and Nikolaos Pandis. "Conditional logistic regression." American Journal of Orthodontics and Dentofacial Orthopedics 151, no. 6 (June 2017): 1191–92. http://dx.doi.org/10.1016/j.ajodo.2017.04.009.

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30

Koletsi, Despina, and Nikolaos Pandis. "Ordinal logistic regression." American Journal of Orthodontics and Dentofacial Orthopedics 153, no. 1 (January 2018): 157–58. http://dx.doi.org/10.1016/j.ajodo.2017.11.011.

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31

Kupper, Lawrence L., David W. Hosmer, and Stanley Lemeshow. "Applied Logistic Regression." Journal of the American Statistical Association 85, no. 411 (September 1990): 901. http://dx.doi.org/10.2307/2290035.

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32

Kwak, Chanyeong, and Alan Clayton-Matthews. "Multinomial Logistic Regression." Nursing Research 51, no. 6 (November 2002): 404–10. http://dx.doi.org/10.1097/00006199-200211000-00009.

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33

Conklin, Joseph D. "Applied Logistic Regression." Technometrics 44, no. 1 (February 2002): 81–82. http://dx.doi.org/10.1198/tech.2002.s650.

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34

Bangdiwala, Shrikant I. "Regression: binary logistic." International Journal of Injury Control and Safety Promotion 25, no. 3 (July 3, 2018): 336–38. http://dx.doi.org/10.1080/17457300.2018.1486503.

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35

Engel, J. "Polytomous logistic regression." Statistica Neerlandica 42, no. 4 (December 1988): 233–52. http://dx.doi.org/10.1111/j.1467-9574.1988.tb01238.x.

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36

Cantor, Alan B. M. "Understanding logistic regression." Evidence-based Oncology 3, no. 2 (June 2002): 52–53. http://dx.doi.org/10.1054/ebon.2002.0002.

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37

Meurer, William J., and Juliana Tolles. "Logistic Regression Diagnostics." JAMA 317, no. 10 (March 14, 2017): 1068. http://dx.doi.org/10.1001/jama.2016.20441.

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38

Iyer, R., David W. Hosmer, and Stanley Lemeshow. "Applied Logistic Regression." Statistician 40, no. 4 (1991): 458. http://dx.doi.org/10.2307/2348743.

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39

Warner, Pamela. "Ordinal logistic regression." Journal of Family Planning and Reproductive Health Care 34, no. 3 (July 1, 2008): 169–70. http://dx.doi.org/10.1783/147118908784734945.

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40

Arunajadai, Srikesh G. "Stepwise Logistic Regression." Anesthesia & Analgesia 109, no. 1 (July 2009): 285. http://dx.doi.org/10.1213/ane.0b013e3181a7b51a.

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41

Pace, Nathan L., and William M. Briggs. "Stepwise Logistic Regression." Anesthesia & Analgesia 109, no. 1 (July 2009): 285–86. http://dx.doi.org/10.1213/ane.0b013e3181a7b52d.

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42

Emerson, Robert Wall. "Logistic Regression Explained." Journal of Visual Impairment & Blindness 112, no. 2 (March 2018): 219–20. http://dx.doi.org/10.1177/0145482x1811200211.

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43

Domínguez-Almendros, S., N. Benítez-Parejo, and A. R. Gonzalez-Ramirez. "Logistic regression models." Allergologia et Immunopathologia 39, no. 5 (September 2011): 295–305. http://dx.doi.org/10.1016/j.aller.2011.05.002.

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44

Ngufor, Che, and Janusz Wojtusiak. "Extreme logistic regression." Advances in Data Analysis and Classification 10, no. 1 (December 31, 2014): 27–52. http://dx.doi.org/10.1007/s11634-014-0194-2.

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45

Nakazawa, Hideo. "Logistic Regressions." Nihon Ika Daigaku Igakkai Zasshi 10, no. 4 (2014): 186–91. http://dx.doi.org/10.1272/manms.10.186.

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46

Özkale, M. Revan, Stanley Lemeshow, and Rodney Sturdivant. "Logistic regression diagnostics in ridge regression." Computational Statistics 33, no. 2 (July 29, 2017): 563–93. http://dx.doi.org/10.1007/s00180-017-0755-x.

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47

Armah, Gabriel Kofi, Guanchun Luo, Ke Qin, and Angolo Shem Mbandu. "Applying Variant Variable Regularized Logistic Regression for Modeling Software Defect Predictor." Lecture Notes on Software Engineering 4, no. 2 (May 2016): 107–15. http://dx.doi.org/10.7763/lnse.2016.v4.234.

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48

Rani, K. Sandhya, M. Sai Chaitanya, and G. Sai Kiran. "A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1467–70. http://dx.doi.org/10.31142/ijtsrd11402.

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49

Amores-Ampuero, Anabel, and Inmaculada Alemán. "Comparison of cranial sex determination by discriminant analysis and logistic regression." Anthropologischer Anzeiger 73, no. 3 (September 1, 2016): 207–14. http://dx.doi.org/10.1127/anthranz/2016/0604.

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50

Gazder, Uneb, Ashar Ahmed, and Umaira Shahid. "Predicting Severity of Accidents in Malaysia By Ordinal Logistic Regression Models." International Journal of Traffic and Transportation Management 03, no. 01 (March 1, 2021): 11–16. http://dx.doi.org/10.5383/jttm.03.01.002.

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This study was aimed at determining the relationships of accident severity using road environment and traveller characteristics. Ordinal logistic regression models were used in this study. The accident data was provided by Malaysian Research Institute of Road Safety (MIROS) for all accidents which occurred in Penang state during 2006-2011. It was observed that motorbikes were predominantly involved in these accidents, hence, it was decided to develop three separate models; one for the overall data, and others for accidents with and without motorbikes. Logistic regression models showed that commercial land use, road width and experience of driver are important factors that may increase severity of accidents. Shoulder width was found to decrease the severity of motorbike accidents. Commercial land use, road width and driver experience have more impact on motorbike accidents as compared to accidents of other vehicles.
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