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Paper Citation Record · LEDGER

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.25120.

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pith.paper-citation-record.v1
2607.25120 v2

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measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-31T01:24:37.069141Z

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Pith citing papers itemized under the disclosed page cap.

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22 of 22 outbound references displayed

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Outbound references

Observation 4114c3f6-18fc-47da-ab56-6906df468d6a · outbound

This paper cites Network meta-analysis of parametric survival curves.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Network meta-analysis of parametric survival curves

Reference 1

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Observation 5bde7b90-8187-4d83-8cad-e6d8a0edf482 · outbound

This paper cites Network meta-analysis of survival data with fractional polynomials.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Network meta-analysis of survival data with fractional polynomials

Reference 2

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This paper cites Multi-state network meta-analysis of progression and survival data.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Multi-state network meta-analysis of progression and survival data

Reference 3

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Observation d2dfdf30-83d6-4278-a4fa-3d21fa0c2423 · outbound

This paper cites NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submission to NICE.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submission to NICE

Reference 4

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Observation cb9b7cf8-0d1e-4deb-b8a8-46baf28306f4 · outbound

This paper cites Multilevel Net- work Meta-Regression for population-adjusted treatment comparisons.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Multilevel Net- work Meta-Regression for population-adjusted treatment comparisons

Reference 5

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This paper cites Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis

Reference 6

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Observation ba3a98ab-296a-4696-a1ec-6c1e6cf5ca83 · outbound

This paper cites Tutorial in biostatistics: competing risks and multi-state models.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Tutorial in biostatistics: competing risks and multi-state models

Reference 7

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Observation d29c4427-d5f3-47dc-827b-41697e1b01ca · outbound

This paper cites Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects

Reference 8

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Observation 42c8327c-d41c-4306-9fcb-5f65de4fa06d · outbound

This paper cites Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes

Reference 9

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Observation 87fd024b-1aba-4cba-9b01-a54233f66d5a · outbound

This paper cites Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves

Reference 10

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Observation e223ffb7-2305-43a5-95a8-fab2347256dd · outbound

This paper cites An overview of composite likelihood methods.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence An overview of composite likelihood methods

Reference 11

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Observation 93ecf5e3-2c94-4fca-83da-22c7c8c0488d · outbound

This paper cites Estimation of Markov chain transition probabilities and rates from fully and partially observed data: uncertainty propagation, evidence synthesis, and model calibration.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Estimation of Markov chain transition probabilities and rates from fully and partially observed data: uncertainty propagation, evidence synthesis, and model calibration

Reference 12

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This paper cites Stan: A probabilistic programming language.

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Stan: A probabilistic programming language

Reference 13

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Practical Bayesian model evaluation using leave-one-out cross-validation and W AIC

Reference 14

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Lenalidomide maintenance after stem-cell transplantation for multiple myeloma

Reference 15

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Lenalido- mide after stem-cell transplantation for multiple myeloma

Reference 16

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Autolo- gous transplantation and maintenance therapy in multiple myeloma

Reference 17

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Observation 6bf4a4b2-8dec-420a-a183-406f64ac93b9 · outbound

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Lenalidomide maintenance versus observation for patients with newly diagnosed multiple myeloma (Myeloma XI): a multicentre, open-label, randomised, phase 3 trial

Reference 18

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence The role of maintenance thalidomide therapy in multiple myeloma: MRC Myeloma IX results and meta- analysis

Reference 19

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Using simulation studies to evaluate statistical methods

Reference 20

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Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence The validation of surrogate endpoints in meta-analyses of randomized experiments

Reference 21

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This paper cites Anchors Away: Navigating Unanchored Indirect Comparisons with Multilevel Unanchored Meta-Regression (ML-UMR).

Multilevel network meta-regression for multistate models: Population-adjusted joint synthesis of progression and survival data from individual and aggregate evidence Anchors Away: Navigating Unanchored Indirect Comparisons with Multilevel Unanchored Meta-Regression (ML-UMR)

Reference 22

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