Conditional power and information fraction calculations at an interim analysis for random coefficient models
© 2023 John Wiley & Sons Ltd..
Random coefficient (RC) models are commonly used in clinical trials to estimate the rate of change over time in longitudinal data. Trials utilizing a surrogate endpoint for accelerated approval with a confirmatory longitudinal endpoint to show clinical benefit is a strategy implemented across various therapeutic areas, including immunoglobulin A nephropathy. Understanding conditional power (CP) and information fraction calculations of RC models may help in the design of clinical trials as well as provide support for the confirmatory endpoint at the time of accelerated approval. This paper provides calculation methods, with practical examples, for determining CP at an interim analysis for a RC model with longitudinal data, such as estimated glomerular filtration rate (eGFR) assessments to measure rate of change in eGFR slope.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
---|---|
Enthalten in: |
Pharmaceutical statistics - 23(2024), 2 vom: 01. März, Seite 276-283 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Lewis, Sandra A [VerfasserIn] |
---|
Links: |
---|
Themen: |
Biomarkers |
---|
Anmerkungen: |
Date Completed 08.03.2024 Date Revised 08.03.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1002/pst.2345 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM364111275 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM364111275 | ||
003 | DE-627 | ||
005 | 20240308232130.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1002/pst.2345 |2 doi | |
028 | 5 | 2 | |a pubmed24n1320.xml |
035 | |a (DE-627)NLM364111275 | ||
035 | |a (NLM)37919258 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Lewis, Sandra A |e verfasserin |4 aut | |
245 | 1 | 0 | |a Conditional power and information fraction calculations at an interim analysis for random coefficient models |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 08.03.2024 | ||
500 | |a Date Revised 08.03.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © 2023 John Wiley & Sons Ltd. | ||
520 | |a Random coefficient (RC) models are commonly used in clinical trials to estimate the rate of change over time in longitudinal data. Trials utilizing a surrogate endpoint for accelerated approval with a confirmatory longitudinal endpoint to show clinical benefit is a strategy implemented across various therapeutic areas, including immunoglobulin A nephropathy. Understanding conditional power (CP) and information fraction calculations of RC models may help in the design of clinical trials as well as provide support for the confirmatory endpoint at the time of accelerated approval. This paper provides calculation methods, with practical examples, for determining CP at an interim analysis for a RC model with longitudinal data, such as estimated glomerular filtration rate (eGFR) assessments to measure rate of change in eGFR slope | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a IgA nephropathy | |
650 | 4 | |a conditional power | |
650 | 4 | |a information fraction | |
650 | 4 | |a interim analysis | |
650 | 4 | |a longitudinal data | |
650 | 4 | |a random coefficients model | |
650 | 7 | |a Biomarkers |2 NLM | |
700 | 1 | |a Carroll, Kevin J |e verfasserin |4 aut | |
700 | 1 | |a DeVries, Todd |e verfasserin |4 aut | |
700 | 1 | |a Barratt, Jonathan |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Pharmaceutical statistics |d 2006 |g 23(2024), 2 vom: 01. März, Seite 276-283 |w (DE-627)NLM166361305 |x 1539-1612 |7 nnns |
773 | 1 | 8 | |g volume:23 |g year:2024 |g number:2 |g day:01 |g month:03 |g pages:276-283 |
856 | 4 | 0 | |u http://dx.doi.org/10.1002/pst.2345 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 23 |j 2024 |e 2 |b 01 |c 03 |h 276-283 |