InteractionR: An R package for full reporting of effect modification and interaction

被引:43
作者
Alli, Babatunde Y. [1 ]
机构
[1] McGill Univ, Fac Dent, 2001 McGill Coll Ave, Montreal, PQ H3A 1G1, Canada
关键词
Data analysis; Preventive medicine; Public health; Gene-Environment Interaction; ADDITIVE INTERACTION; RISK;
D O I
10.1016/j.simpa.2021.100147
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Effect modification and/or Interaction are frequently assessed in epidemiological research. However, in most cases, authors do not present sufficient information for the readers to fully assess the extent and significance of interaction on both additive and multiplicative scale. Also, due to being readily available in most software, the delta method has proliferated in the literature for the estimation of confidence intervals (CIs) for measures of additive interactions; despite its well documented poor performance compared to alternative methods. We introduce interactionR, an open-source R package with user-friendly functions that ensures full reporting of effect modification or interaction based on recommended guidelines. In addition to the simple asymptotic delta method, the package also allows for estimation of CIs for additive interaction measures using the variance recovery and percentile bootstrapping methods.
引用
收藏
页数:4
相关论文
共 19 条
[1]  
Alli B.Y., **DATA OBJECT**, V2021, DOI 10.5281/ZENODO.4924045
[2]   HIV Modifies the Effect of Tobacco Smoking on Oral Human Papillomavirus Infection [J].
Alli, Babatunde Y. ;
Burk, Robert D. ;
Fatahzadeh, Mahnaz ;
Kazimiroff, Julie ;
Grossberg, Robert M. ;
Smith, Richard, V ;
Ow, Thomas J. ;
Wiltz, Mauricio ;
Polanco, Jacqueline ;
Rousseau, Marie-Claude ;
Nicolau, Belinda ;
Schlecht, Nicolas F. .
JOURNAL OF INFECTIOUS DISEASES, 2020, 222 (04) :646-654
[3]   Calculating measures of biological interaction [J].
Andersson, T ;
Alfredsson, L ;
Källberg, H ;
Zdravkovic, S ;
Ahlbom, A .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2005, 20 (07) :575-579
[4]   Confidence intervals for measures of interaction [J].
Assmann, SF ;
Hosmer, DW ;
Lemeshow, S ;
Mundt, KA .
EPIDEMIOLOGY, 1996, 7 (03) :286-290
[5]   CONFIDENCE-INTERVAL ESTIMATION OF INTERACTION [J].
HOSMER, DW ;
LEMESHOW, S .
EPIDEMIOLOGY, 1992, 3 (05) :452-456
[6]  
Kalilani Linda, 2006, Epidemiol Perspect Innov, V3, P5, DOI 10.1186/1742-5573-3-5
[7]   Recommendations for presenting analyses of effect modification and interaction [J].
Knol, Mirjam J. ;
VanderWeele, Tyler J. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2012, 41 (02) :514-520
[8]   Estimating measures of interaction on an additive scale for preventive exposures [J].
Knol, Mirjam J. ;
VanderWeele, Tyler J. ;
Groenwold, Rolf H. H. ;
Klungel, Olaf H. ;
Rovers, Maroeska M. ;
Grobbee, Diederick E. .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2011, 26 (06) :433-438
[9]   When One Depends on the Other Reporting of Interaction in Case-Control and Cohort Studies [J].
Knol, Mirjam J. ;
Egger, Matthias ;
Scott, Pippa ;
Geerlings, Mirjam L. ;
Vandenbroucke, Jan P. .
EPIDEMIOLOGY, 2009, 20 (02) :161-166
[10]   Test for additive interaction in proportional hazards models [J].
Li, Rongling ;
Chambless, Lloyd .
ANNALS OF EPIDEMIOLOGY, 2007, 17 (03) :227-236