Evidence map›Paper›PMID 38222067›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2024

Statistical inference for complete and incomplete mobility trajectories under the flight-pause model.

Marcin Jurek, Catherine A Calder, Corwin Zigler

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marcin JurekDepartment of Statistics and Data Sciences, University of Texas at Austin, Austin, TX, USA.
Catherine A CalderDepartment of Statistics and Data Sciences, University of Texas at Austin, Austin, TX, USA.
Corwin ZiglerDepartment of Statistics and Data Sciences, University of Texas at Austin, Austin, TX, USA.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
Adolescent Health in an Urban EnvironmentR01HD088545 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI CALDER, CATHERINE A · 2017 to 2021
$1.4M
NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD088545NIEHS NIH HHS R01 ES026217
6 · The paper itself

Abstract

We formulate a statistical flight-pause model (FPM) for human mobility, represented by a collection of random objects, called motions, appropriate for mobile phone tracking (MPT) data. We develop the statistical machinery for parameter inference and trajectory imputation under various forms of missing data. We show that common assumptions about the missing data mechanism for MPT are not valid for the mechanism governing the random motions underlying the FPM, representing an understudied missing data phenomenon. We demonstrate the consequences of missing data and our proposed adjustments in both simulations and real data, outlining implications for MPT data collection and design.

Indexed as

digital phenotypingmissing datasemi-Markov processspace–time processtrajectory data

Identifiers

PMID38222067
PMCPMC10782461

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.