1 ALSPAC Data Measures of Childhood Incontinence.
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Transcript of 1 ALSPAC Data Measures of Childhood Incontinence.
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ALSPAC Data
Measures of Childhood Incontinence
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Or, if you’re squeamish…
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How many kittens do you own?
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Repeated questions:
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Repeated questions: - Binary
Zero One
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Repeated questions: - Ordinal
Zero One Two ~ DSM4 criterion
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Repeated questions
• Asked at:
• 4½ years ~ KK• 5½ years ~ KM• 6½ years ~ KP• 7½ years ~ KR • 9½ years ~ KU
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Why mixture models?
• Previous work (clinical/epidemiological) has provided evidence for subgroups– Different aetilogies– Different comorbid factors– Different long-term outcomes
• Variability in development poorly captured by standard growth models– Relapsing group
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BW frequencies (complete case)Boys Girls
4.5yr
Dry 62% 77%
“Infrequent” 27%38%
17%23%
“Frequent” 11% 6%
5.5yr
Dry 72% 84%
“Infrequent” 21%28%
13%16%
“Frequent” 7% 3%
6.5yr
Dry 76% 87%
“Infrequent” 20%24%
11%14%
“Frequent” 5% 2%
7.5yr
Dry 81% 90%
“Infrequent” 16%19%
9%10%
“Frequent” 3% 1%
9.5yr
Dry 87% 94%
“Infrequent” 11%13%
5%6%
“Frequent” 2% 1%
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Infrequent bedwetting
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Frequent Bedwetting
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Planned models
• LLCA replication of Croudace AJE model– Incorporate covariates into above
• LLCA/LCGA models of frequent wetters (binary)– Assessment of gender invariance with knownclass
• Parallel modelling of day/night wetting• Ordinal modelling of 3-level measures
– Incorporate covariates– Risk of later binary outcome