These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
150 related articles for article (PubMed ID: 38721699)
1. Statistical analysis of observational studies in disability research. Shepherd DA; Amor DJ; Moreno-Betancur M Dev Med Child Neurol; 2024 Nov; 66(11):1408-1418. PubMed ID: 38721699 [TBL] [Abstract][Full Text] [Related]
2. Causal inference in perioperative medicine observational research: part 1, a graphical introduction. Krishnamoorthy V; Wong DJN; Wilson M; Raghunathan K; Ohnuma T; McLean D; Moonesinghe SR; Harris SK Br J Anaesth; 2020 Sep; 125(3):393-397. PubMed ID: 32600803 [TBL] [Abstract][Full Text] [Related]
3. General concepts in biostatistics and clinical epidemiology: Observational studies with cross-sectional and ecological designs. Cataldo R; Arancibia M; Stojanova J; Papuzinski C Medwave; 2019 Sep; 19(8):e7698. PubMed ID: 31596838 [TBL] [Abstract][Full Text] [Related]
4. Causal inference from experiment and observation. Zwahlen M; Salanti G Evid Based Ment Health; 2018 Feb; 21(1):34-38. PubMed ID: 29289944 [TBL] [Abstract][Full Text] [Related]
5. Squeezing observational data for better causal inference: Methods and examples for prevention research. Garcia-Huidobro D; Michael Oakes J Int J Psychol; 2017 Apr; 52(2):96-105. PubMed ID: 27094382 [TBL] [Abstract][Full Text] [Related]
6. Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges. Rahnenführer J; De Bin R; Benner A; Ambrogi F; Lusa L; Boulesteix AL; Migliavacca E; Binder H; Michiels S; Sauerbrei W; McShane L; BMC Med; 2023 May; 21(1):182. PubMed ID: 37189125 [TBL] [Abstract][Full Text] [Related]
7. Causal inference with missing exposure information: Methods and applications to an obstetric study. Zhang Z; Liu W; Zhang B; Tang L; Zhang J Stat Methods Med Res; 2016 Oct; 25(5):2053-2066. PubMed ID: 24318273 [TBL] [Abstract][Full Text] [Related]
8. Causal inference in perioperative medicine observational research: part 2, advanced methods. Krishnamoorthy V; McLean D; Ohnuma T; Harris SK; Wong DJN; Wilson M; Moonesinghe R; Raghunathan K Br J Anaesth; 2020 Sep; 125(3):398-405. PubMed ID: 32527658 [TBL] [Abstract][Full Text] [Related]
9. Methods of Public Health Research - Strengthening Causal Inference from Observational Data. Hernán MA N Engl J Med; 2021 Oct; 385(15):1345-1348. PubMed ID: 34596980 [No Abstract] [Full Text] [Related]
10. Gaps in the usage and reporting of multiple imputation for incomplete data: findings from a scoping review of observational studies addressing causal questions. Mainzer RM; Moreno-Betancur M; Nguyen CD; Simpson JA; Carlin JB; Lee KJ BMC Med Res Methodol; 2024 Sep; 24(1):193. PubMed ID: 39232661 [TBL] [Abstract][Full Text] [Related]
11. Good practices for the design, analysis, and interpretation of observational studies on birth spacing and perinatal health outcomes. Hutcheon JA; Moskosky S; Ananth CV; Basso O; Briss PA; Ferré CD; Frederiksen BN; Harper S; Hernández-Díaz S; Hirai AH; Kirby RS; Klebanoff MA; Lindberg L; Mumford SL; Nelson HD; Platt RW; Rossen LM; Stuebe AM; Thoma ME; Vladutiu CJ; Ahrens KA Paediatr Perinat Epidemiol; 2019 Jan; 33(1):O15-O24. PubMed ID: 30311958 [TBL] [Abstract][Full Text] [Related]
12. Causal inference with observational data: the need for triangulation of evidence. Hammerton G; Munafò MR Psychol Med; 2021 Mar; 51(4):563-578. PubMed ID: 33682654 [TBL] [Abstract][Full Text] [Related]
13. Causal evidence in health decision making: methodological approaches of causal inference and health decision science. Kühne F; Schomaker M; Stojkov I; Jahn B; Conrads-Frank A; Siebert S; Sroczynski G; Puntscher S; Schmid D; Schnell-Inderst P; Siebert U Ger Med Sci; 2022; 20():Doc12. PubMed ID: 36742460 [TBL] [Abstract][Full Text] [Related]
14. STRengthening analytical thinking for observational studies: the STRATOS initiative. Sauerbrei W; Abrahamowicz M; Altman DG; le Cessie S; Carpenter J; Stat Med; 2014 Dec; 33(30):5413-32. PubMed ID: 25074480 [TBL] [Abstract][Full Text] [Related]
15. Observational research--opportunities and limitations. Boyko EJ J Diabetes Complications; 2013; 27(6):642-8. PubMed ID: 24055326 [TBL] [Abstract][Full Text] [Related]
16. Handling of missing data with multiple imputation in observational studies that address causal questions: protocol for a scoping review. Mainzer R; Moreno-Betancur M; Nguyen C; Simpson J; Carlin J; Lee K BMJ Open; 2023 Feb; 13(2):e065576. PubMed ID: 36725096 [TBL] [Abstract][Full Text] [Related]
17. Causal inference in dentistry: Time to move forward. Schuch HS; Nascimento GG; Demarco FF; Haag DG Community Dent Oral Epidemiol; 2023 Feb; 51(1):62-66. PubMed ID: 36749667 [TBL] [Abstract][Full Text] [Related]
18. Cohort studies in the context of obstetric and gynecologic research: a methodologic overview. Messerlian C; Basso O Acta Obstet Gynecol Scand; 2018 Apr; 97(4):371-379. PubMed ID: 29194569 [TBL] [Abstract][Full Text] [Related]
19. Considerations for observational research using large data sets in radiation oncology. Jagsi R; Bekelman JE; Chen A; Chen RC; Hoffman K; Shih YC; Smith BD; Yu JB Int J Radiat Oncol Biol Phys; 2014 Sep; 90(1):11-24. PubMed ID: 25195986 [TBL] [Abstract][Full Text] [Related]