112 related articles for article (PubMed ID: 36470637)
1. Comparing logit & probit coefficients between nested models.
Williams R; Jorgensen A
Soc Sci Res; 2023 Jan; 109():102802. PubMed ID: 36470637
[TBL] [Abstract][Full Text] [Related]
2. Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes.
Chen Y; Ning Y; Kao SL; Støer NC; Müller-Riemenschneider F; Venkataraman K; Khoo EYH; Tai ES; Tan CS
BMC Med Res Methodol; 2019 Jul; 19(1):165. PubMed ID: 31357938
[TBL] [Abstract][Full Text] [Related]
3. Marginal and Conditional Confounding Using Logits.
Karlson KB; Popham F; Holm A
Sociol Methods Res; 2023 Nov; 52(4):1765-1784. PubMed ID: 37873547
[TBL] [Abstract][Full Text] [Related]
4. Log Odds and the Interpretation of Logit Models.
Norton EC; Dowd BE
Health Serv Res; 2018 Apr; 53(2):859-878. PubMed ID: 28560732
[TBL] [Abstract][Full Text] [Related]
5. An Instrumental Variable Probit (IVP) analysis on depressed mood in Korea: the impact of gender differences and other socio-economic factors.
Gitto L; Noh YH; Andrés AR
Int J Health Policy Manag; 2015 Apr; 4(8):523-30. PubMed ID: 26340392
[TBL] [Abstract][Full Text] [Related]
6. Understanding data in clinical research: a simple graphical display for plotting data (up to four independent variables) after binary logistic regression analysis.
Mesa JL
Med Hypotheses; 2004; 62(2):228-32. PubMed ID: 14962632
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of graphical diagnostics for assessing goodness of fit of logistic regression models.
Pavan Kumar VV; Duffull SB
J Pharmacokinet Pharmacodyn; 2011 Apr; 38(2):205-22. PubMed ID: 21153868
[TBL] [Abstract][Full Text] [Related]
8. Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.
Gomila R
J Exp Psychol Gen; 2021 Apr; 150(4):700-709. PubMed ID: 32969684
[TBL] [Abstract][Full Text] [Related]
9. Modelling hospital outcome: problems with endogeneity.
Moran JL; Santamaria JD; Duke GJ;
BMC Med Res Methodol; 2021 Jun; 21(1):124. PubMed ID: 34154530
[TBL] [Abstract][Full Text] [Related]
10. Ordinal probability effect measures for group comparisons in multinomial cumulative link models.
Agresti A; Kateri M
Biometrics; 2017 Mar; 73(1):214-219. PubMed ID: 27438478
[TBL] [Abstract][Full Text] [Related]
11. Modeling school bus seat belt usage: Nested and mixed logit approaches.
Mehta G; Lou Y
Accid Anal Prev; 2013 Mar; 51():56-67. PubMed ID: 23196039
[TBL] [Abstract][Full Text] [Related]
12. Network capacity with probit-based stochastic user equilibrium problem.
Lu L; Wang J; Zheng P; Wang W
PLoS One; 2017; 12(2):e0171158. PubMed ID: 28178284
[TBL] [Abstract][Full Text] [Related]
13. A new goodness-of-fit measure for probit models: Surrogate R
Liu D; Zhu X; Greenwell B; Lin Z
Br J Math Stat Psychol; 2023 Feb; 76(1):192-210. PubMed ID: 36250345
[TBL] [Abstract][Full Text] [Related]
14. Estimating probit models with self-selected treatments.
Bhattacharya J; Goldman D; McCaffrey D
Stat Med; 2006 Feb; 25(3):389-413. PubMed ID: 16382420
[TBL] [Abstract][Full Text] [Related]
15. Black, White, Black and White: mixed race and health in Canada.
Veenstra G
Ethn Health; 2019 Feb; 24(2):113-124. PubMed ID: 28393550
[No Abstract] [Full Text] [Related]
16. A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design.
Meaney C; Moineddin R
BMC Med Res Methodol; 2014 Jan; 14():14. PubMed ID: 24461057
[TBL] [Abstract][Full Text] [Related]
17. Relation between demographic factors and type of gastrointestinal cancer using probit and logit regression.
Pourhoseingholi A; Pourhoseingholi MA; Vahedi M; Safaee A; Moghimi-Dehkordi B; Ghafarnejad F; Zali MR
Asian Pac J Cancer Prev; 2008; 9(4):753-5. PubMed ID: 19256772
[TBL] [Abstract][Full Text] [Related]
18. Objective Bayesian Inference in Probit Models with Intrinsic Priors Using Variational Approximations.
Li A; Pericchi L; Wang K
Entropy (Basel); 2020 Apr; 22(5):. PubMed ID: 33286285
[TBL] [Abstract][Full Text] [Related]
19. A method for measuring spatial effects on socioeconomic inequalities using the concentration index.
Kim SW; Haghparast-Bidgoli H; Skordis-Worrall J; Batura N; Petrou S
Int J Equity Health; 2020 Jan; 19(1):9. PubMed ID: 31937314
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]