35:
216:
In 1986, Robins introduced a new framework for drawing causal inference from observational data. In this and other articles published around the same time, Robins showed that in non-experimental data, exposure is almost always time-dependent, and that standard methods such as regression are therefore
237:
and other colleagues, in 1994 he introduced doubly robust estimators (derived from the influence functions) for statistical parameters in causal inference and missing data problems. The theory for doubly robust estimators has been highly influential in the field of and has influenced practice in
224:
In his original paper on causal inference, Robins described two new methods for controlling for confounding bias, which can be applied in the generalized setting of time-dependent exposures: The G-formula and G-Estimation of
Structural Nested Models. Later, he introduced a third class of models,
238:
computer science, biostatistics, epidemiology, machine learning, social sciences, and statistics. In 2008, he also developed the theory of higher-order influence functions for statistical functional estimation with collaborators including
Lingling Li, Eric Tchetgen Tchetgen, and
596:
Michele
Jonsson Funk, Daniel Westreich, Chris Wiesen, Til Stürmer, M. Alan Brookhart, Marie Davidian, Doubly Robust Estimation of Causal Effects, American Journal of Epidemiology, Volume 173, Issue 7, 1 April 2011, Pages 761–767,
229:, in which the parameters are estimated using inverse probability of treatment weights. He has also contributed significantly to the theory of dynamic treatment regimes, which are of high significance in
221:'s graphical framework Non-Parametric Structural Equations Models, which Pearl developed independently shortly thereafter. Pearl's graphical models are a more restricted version of this theory.
651:
671:
661:
536:
40:
555:"A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect"
173:
281:
Robins, J.M.; Tsiatis, A.A. (1991). "Correcting for non-compliance in randomized trials using rank preserving structural failure time models".
468:
626:
378:
349:
666:
230:
208:, but quickly came to the conclusion that the methodology used at the time was insufficiently rigorous to support causal conclusions.
169:
62:
646:
336:
Robins, J.M.; Ritov, Y. (1997). "Toward A Curse Of
Dimensionality Appropriate (CODA) Asymptotic Theory For Semi-parametric Models".
676:
111:
80:
17:
204:
for several years. While working in occupational medicine, he attended basic courses in applied medical statistics at the
200:, but did not graduate. He went on to attend Washington University School of Medicine, graduating in 1976, and practiced
205:
181:
584:
Single World
Intervention Graphs (SWIGs): A Unification of the Counterfactual and Graphical Approaches to Causality
226:
302:
Robins, J.M. (1994). "Correcting for non-compliance in randomized trials using structural nested mean models".
656:
409:
400:
201:
460:
414:
138:
520:
443:
427:
66:
554:
464:
435:
382:
353:
269:
239:
145:, particularly those in which the treatment varies with time. He is the 2013 recipient of the
323:
Robins, J.M. (1997). "Causal inference from complex longitudinal data". In M. Berkane (ed.).
567:
532:
419:
395:
374:
345:
311:
290:
261:
234:
177:
158:
154:
142:
149:
Award for lifetime achievement in statistics and epidemiology, and a recipient of the 2022
585:
328:
193:
172:
in 1976. He is currently
Mitchell L. and Robin LaFoley Dong Professor of Epidemiology at
197:
196:
with the class of 1971, concentrating in mathematics and philosophy. He was elected to
127:
640:
571:
423:
146:
101:
76:
52:
613:
447:
98:
516:
218:
217:
almost always biased. This framework is mathematically very closely related to
627:
James Robins makes statistics tell the truth: Numbers in the service of health
315:
294:
252:
Robins, J.M. (1989). "The control of confounding by intermediate variables".
379:
10.1002/(SICI)1097-0258(19980215)17:3<269::AID-SIM763>3.0.CO;2-J
365:
Robins, J.M. (1998). "Correction for non-compliance in equivalence trials".
350:
10.1002/(SICI)1097-0258(19970215)16:3<285::AID-SIM535>3.3.CO;2-R
134:
131:
614:
James Robins — Mitchell L. and Robin LaFoley Dong
Professor of Epidemiology
439:
398:(2000). "Marginal Structural Models and Causal Inference in Epidemiology".
265:
386:
357:
273:
34:
165:
619:
431:
598:
540:
492:
150:
130:
and biostatistician best known for advancing methods for drawing
457:
Unified
Methods for Censored Longitudinal Data and Causality
616:. Harvard School of Public Health (Accessed 15 March 2008).
622:
Harvard School of Public Health (Accessed 15 March 2008).
586:
https://csss.uw.edu/files/working-papers/2013/wp128.pdf
325:
Latent
Variable Modeling and Applications to Causality
107:
94:
72:
58:
48:
25:
553:
537:Causal Etiology of the Research of James M. Robins
652:Harvard T.H. Chan School of Public Health faculty
304:Communications in Statistics - Theory and Methods
283:Communications in Statistics - Theory and Methods
672:Fellows of the American Statistical Association
662:Washington University School of Medicine alumni
327:. Lecture Notes in Statistics. Vol. 120.
41:Mathematical Research Institute of Oberwolfach
8:
22:
455:van der Laan, M.J.; Robins, J.M. (2003).
413:
233:and personalized medicine. Together with
174:Harvard T.H. Chan School of Public Health
484:
539:, Statist. Sci. 29 (4) 459-484, 2014.
176:. He has published over 100 papers in
7:
625:Gehrman, Elizabeth (March 23, 2006)
493:"The Rousseeuw Prize for Statistics"
620:Dr. James M. Robins — Bibliography
599:https://doi.org/10.1093/aje/kwq439
231:comparative effectiveness research
170:Washington University in St. Louis
63:Washington University in St. Louis
14:
459:. Springer Series in Statistics.
424:10.1097/00001648-200009000-00011
33:
112:Harvard School of Public Health
81:Rousseeuw Prize for Statistics
1:
151:Rousseeuw Prize in Statistics
572:10.1016/0270-0255(86)90088-6
394:Robins, J.M.; Hernan, M.A.;
206:Yale School of Public Health
182:ISI highly cited researcher
693:
631:Harvard University Gazette
227:Marginal Structural Models
157:, Eric Tchetgen-Tchetgen,
15:
667:American biostatisticians
531:Thomas S. Richardson and
316:10.1080/03610929408831393
295:10.1080/03610929108830654
117:
87:
32:
647:American epidemiologists
16:Not to be confused with
161:and Thomas Richardson.
677:Harvard College alumni
560:Mathematical Modelling
552:Robins, James (1986).
497:www.rousseeuwprize.org
367:Statistics in Medicine
338:Statistics in Medicine
266:10.1002/sim.4780080608
254:Statistics in Medicine
541:doi:10.1214/14-STS505
246:Selected publications
202:Occupational Medicine
139:observational studies
566:(9–12): 1393–1512.
521:ISIHighlyCited.com
331:. pp. 69–117.
67:Harvard University
470:978-0-387-95556-8
240:Aad van der Vaart
178:academic journals
143:randomized trials
121:
120:
89:Scientific career
684:
601:
594:
588:
582:
576:
575:
557:
549:
543:
533:Andrea Rotnitzky
529:
523:
514:
508:
507:
505:
503:
489:
474:
451:
417:
390:
361:
332:
319:
310:(8): 2379–2412.
298:
289:(8): 2609–2631.
277:
235:Andrea Rotnitzky
192:Robins attended
164:He graduated in
159:Andrea Rotnitzky
37:
23:
692:
691:
687:
686:
685:
683:
682:
681:
637:
636:
610:
605:
604:
595:
591:
583:
579:
551:
550:
546:
530:
526:
515:
511:
501:
499:
491:
490:
486:
481:
471:
454:
415:10.1.1.116.7039
393:
364:
335:
329:Springer-Verlag
322:
301:
280:
251:
248:
214:
194:Harvard College
190:
153:, jointly with
124:James M. Robins
65:
59:Alma mater
44:
28:
27:James M. Robins
21:
12:
11:
5:
690:
688:
680:
679:
674:
669:
664:
659:
654:
649:
639:
638:
635:
634:
623:
617:
609:
606:
603:
602:
589:
577:
544:
524:
509:
483:
482:
480:
477:
476:
475:
469:
452:
408:(5): 550–560.
391:
373:(3): 269–302.
362:
344:(3): 285–319.
333:
320:
299:
278:
260:(6): 679–701.
247:
244:
213:
210:
198:Phi Beta Kappa
189:
186:
128:epidemiologist
119:
118:
115:
114:
109:
105:
104:
96:
92:
91:
85:
84:
79:Award (2013),
74:
70:
69:
60:
56:
55:
50:
46:
45:
39:Robins at the
38:
30:
29:
26:
13:
10:
9:
6:
4:
3:
2:
689:
678:
675:
673:
670:
668:
665:
663:
660:
658:
657:Living people
655:
653:
650:
648:
645:
644:
642:
632:
628:
624:
621:
618:
615:
612:
611:
607:
600:
593:
590:
587:
581:
578:
573:
569:
565:
561:
556:
548:
545:
542:
538:
534:
528:
525:
522:
518:
517:Robins, James
513:
510:
498:
494:
488:
485:
478:
472:
466:
462:
458:
453:
449:
445:
441:
437:
433:
429:
425:
421:
416:
411:
407:
403:
402:
397:
392:
388:
384:
380:
376:
372:
368:
363:
359:
355:
351:
347:
343:
339:
334:
330:
326:
321:
317:
313:
309:
305:
300:
296:
292:
288:
284:
279:
275:
271:
267:
263:
259:
255:
250:
249:
245:
243:
241:
236:
232:
228:
222:
220:
211:
209:
207:
203:
199:
195:
187:
185:
183:
179:
175:
171:
167:
162:
160:
156:
155:Miguel Hernán
152:
148:
147:Nathan Mantel
144:
140:
137:from complex
136:
133:
129:
125:
116:
113:
110:
106:
103:
102:Biostatistics
100:
97:
93:
90:
86:
82:
78:
77:Nathan Mantel
75:
71:
68:
64:
61:
57:
54:
51:
47:
42:
36:
31:
24:
19:
18:James Robbins
630:
592:
580:
563:
559:
547:
527:
512:
500:. Retrieved
496:
487:
456:
405:
401:Epidemiology
399:
396:Brumback, B.
370:
366:
341:
337:
324:
307:
303:
286:
282:
257:
253:
223:
215:
191:
163:
123:
122:
108:Institutions
99:Epidemiology
88:
219:Judea Pearl
49:Nationality
641:Categories
608:References
180:and is an
135:inferences
410:CiteSeerX
188:Biography
502:31 March
461:Springer
440:10955408
212:Research
166:medicine
53:American
448:8907527
432:3703997
387:9493255
358:9004398
274:2749074
43:in 2012
467:
446:
438:
430:
412:
385:
356:
272:
132:causal
126:is an
95:Fields
83:(2022)
73:Awards
479:Notes
444:S2CID
428:JSTOR
168:from
504:2023
465:ISBN
436:PMID
383:PMID
354:PMID
270:PMID
141:and
568:doi
519:at
420:doi
375:doi
346:doi
312:doi
291:doi
262:doi
643::
629:.
562:.
558:.
535:,
495:.
463:.
442:.
434:.
426:.
418:.
406:11
404:.
381:.
371:17
369:.
352:.
342:16
340:.
308:23
306:.
287:20
285:.
268:.
256:.
242:.
184:.
633:.
574:.
570::
564:7
506:.
473:.
450:.
422::
389:.
377::
360:.
348::
318:.
314::
297:.
293::
276:.
264::
258:8
20:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
