Target estimands for efficient decision making: Response to comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study"

David M Phillippo; Sofia Dias; Anthony E Ades; Nicky J Welton

doi:10.1002/sim.8965

Target estimands for efficient decision making: Response to comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study"

David M Phillippo^*, Sofia Dias, Anthony E Ades, Nicky J Welton

^*Corresponding author for this work

Research output: Contribution to journal › Letter (Academic Journal)

12 Citations (Scopus)

49 Downloads (Pure)

Abstract

[No abstract]

Original language	English
Pages (from-to)	2759-2763
Number of pages	5
Journal	Statistics in Medicine
Volume	40
Issue number	11
Early online date	8 May 2021
DOIs	https://doi.org/10.1002/sim.8965
Publication status	Published - 20 May 2021

Bibliographical note

Funding Information:
information Medical Research Council, MR/P015298/1; MR/R025223/1

Research Groups and Themes

HEHP@Bristol

Access to Document

10.1002/sim.8965

Full-text PDF (author’s accepted manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Wiley at https://onlinelibrary.wiley.com/doi/10.1002/sim.8965?af=R . Please refer to any applicable terms of use of the publisher.
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12 Citations
2 Article (Academic Journal)

Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study
Phillippo, D. M., Dias, S., Ades, A. E. & Welton, N. J., 30 Dec 2020, In: Statistics in Medicine. 39, 30, p. 4885-4911
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
56 Citations (Scopus)

231 Downloads (Pure)
Multilevel Network Meta-Regression for population-adjusted treatment comparisons
Phillippo, D. M., Dias, S., Ades, A. E., Belger, M., Brnabic, A., Schacht, A., Saure, D., Kadziola, Z. & Welton, N. J., 18 Jun 2020, In: Journal of the Royal Statistical Society: Series A. 183, 3, p. 1189-1210 22 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
95 Citations (Scopus)

164 Downloads (Pure)

2 Finished

8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data
Welton, N. J. (Principal Investigator)
1/01/19 → 30/06/22
Project: Research
No Pfizer: Calibration of multiple treatment comparisons using individual patient data
Welton, N. J. (Principal Investigator)
1/03/17 → 29/02/20
Project: Research

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Phillippo, D. M. (Author), Welton, N. (Supervisor) & Dias, S. (Supervisor), 28 Nov 2019
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

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Cite this

@article{401c92b283074b609f24ba3e585690f4,

title = "Target estimands for efficient decision making: Response to comments on {"}Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study{"}",

abstract = "[No abstract]",

author = "Phillippo, {David M} and Sofia Dias and Ades, {Anthony E} and Welton, {Nicky J}",

note = "Funding Information: information Medical Research Council, MR/P015298/1; MR/R025223/1",

year = "2021",

month = may,

day = "20",

doi = "10.1002/sim.8965",

language = "English",

volume = "40",

pages = "2759--2763",

journal = "Statistics in Medicine",

issn = "0277-6715",

publisher = "John Wiley & Sons, Ltd.",

number = "11",

}

Target estimands for efficient decision making: Response to comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study". / Phillippo, David M; Dias, Sofia; Ades, Anthony E et al.
In: Statistics in Medicine, Vol. 40, No. 11, 20.05.2021, p. 2759-2763.

Research output: Contribution to journal › Letter (Academic Journal)

TY - JOUR

T1 - Target estimands for efficient decision making

T2 - Response to comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study"

AU - Phillippo, David M

AU - Dias, Sofia

AU - Ades, Anthony E

AU - Welton, Nicky J

N1 - Funding Information: information Medical Research Council, MR/P015298/1; MR/R025223/1

PY - 2021/5/20

Y1 - 2021/5/20

N2 - [No abstract]

AB - [No abstract]

U2 - 10.1002/sim.8965

DO - 10.1002/sim.8965

M3 - Letter (Academic Journal)

C2 - 33963586

SN - 0277-6715

VL - 40

SP - 2759

EP - 2763

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 11

ER -

Target estimands for efficient decision making: Response to comments on "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study"

Abstract

Bibliographical note

Research Groups and Themes

Access to Document

Handle.net

Fingerprint

Research output

Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study

Multilevel Network Meta-Regression for population-adjusted treatment comparisons

Projects

8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data

No Pfizer: Calibration of multiple treatment comparisons using individual patient data

Student theses

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data

Cite this