Eintrag weiter verarbeiten
Modelling neuromotor ratings with floor‐effects
Gespeichert in:
| Zeitschriftentitel: | Statistics in Medicine |
|---|---|
| Personen und Körperschaften: | , |
| In: | Statistics in Medicine, 23, 2004, 23, S. 3641-3653 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Gasser, Theo Rousson, Valentin Gasser, Theo Rousson, Valentin |
|---|---|
| author |
Gasser, Theo Rousson, Valentin |
| spellingShingle |
Gasser, Theo Rousson, Valentin Statistics in Medicine Modelling neuromotor ratings with floor‐effects Statistics and Probability Epidemiology |
| author_sort |
gasser, theo |
| spelling |
Gasser, Theo Rousson, Valentin 0277-6715 1097-0258 Wiley Statistics and Probability Epidemiology http://dx.doi.org/10.1002/sim.1914 <jats:title>Abstract</jats:title><jats:p>Associated movements (AMs) are a classical diagnostic tool to assess differences between normal children and children with some motor dysfunction. This paper presents a methodology to produce age‐ and gender‐dependent reference‐curves for AMs of normal children, for various tasks of a test battery. Data available consist of separate ratings of duration and extent of AMs, which are ordinal quantities with few levels. Other problems are severe age‐ and gender‐dependent floor‐effects (as well as some ceiling‐effects), leaving little information for analysis at older ages. To get a better scale, we combined the two ordinal ratings into one meaningful and quasi‐continuous quantity referred to as intensity of AMs. In order to solve problems due to floor‐effects, ceiling‐effects and discreteness, we assumed left‐ , right‐ and interval‐censored values, respectively. We considered a censored regression problem and postulated a truncated normal distribution for the non‐censored values (after an appropriate transformation of the data). Using Wei and Tanner's poor man's data augmentation algorithm, together with the technique of linear mixed effects modelling, useful reference‐curves could be produced. In contrast to the cumulative probabilities approach for ordinal data, our methodology allows the calculation of individual age‐ and gender‐standardized values, which puts us in a position to investigate numerous scientific questions. Copyright © 2004 John Wiley & Sons, Ltd.</jats:p> Modelling neuromotor ratings with floor‐effects Statistics in Medicine |
| doi_str_mv |
10.1002/sim.1914 |
| facet_avail |
Online |
| finc_class_facet |
Mathematik Medizin |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9zaW0uMTkxNA |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9zaW0uMTkxNA |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 |
| imprint |
Wiley, 2004 |
| imprint_str_mv |
Wiley, 2004 |
| issn |
0277-6715 1097-0258 |
| issn_str_mv |
0277-6715 1097-0258 |
| language |
English |
| mega_collection |
Wiley (CrossRef) |
| match_str |
gasser2004modellingneuromotorratingswithflooreffects |
| publishDateSort |
2004 |
| publisher |
Wiley |
| recordtype |
ai |
| record_format |
ai |
| series |
Statistics in Medicine |
| source_id |
49 |
| title |
Modelling neuromotor ratings with floor‐effects |
| title_unstemmed |
Modelling neuromotor ratings with floor‐effects |
| title_full |
Modelling neuromotor ratings with floor‐effects |
| title_fullStr |
Modelling neuromotor ratings with floor‐effects |
| title_full_unstemmed |
Modelling neuromotor ratings with floor‐effects |
| title_short |
Modelling neuromotor ratings with floor‐effects |
| title_sort |
modelling neuromotor ratings with floor‐effects |
| topic |
Statistics and Probability Epidemiology |
| url |
http://dx.doi.org/10.1002/sim.1914 |
| publishDate |
2004 |
| physical |
3641-3653 |
| description |
<jats:title>Abstract</jats:title><jats:p>Associated movements (AMs) are a classical diagnostic tool to assess differences between normal children and children with some motor dysfunction. This paper presents a methodology to produce age‐ and gender‐dependent reference‐curves for AMs of normal children, for various tasks of a test battery. Data available consist of separate ratings of duration and extent of AMs, which are ordinal quantities with few levels. Other problems are severe age‐ and gender‐dependent floor‐effects (as well as some ceiling‐effects), leaving little information for analysis at older ages. To get a better scale, we combined the two ordinal ratings into one meaningful and quasi‐continuous quantity referred to as intensity of AMs. In order to solve problems due to floor‐effects, ceiling‐effects and discreteness, we assumed left‐ , right‐ and interval‐censored values, respectively. We considered a censored regression problem and postulated a truncated normal distribution for the non‐censored values (after an appropriate transformation of the data). Using Wei and Tanner's poor man's data augmentation algorithm, together with the technique of linear mixed effects modelling, useful reference‐curves could be produced. In contrast to the cumulative probabilities approach for ordinal data, our methodology allows the calculation of individual age‐ and gender‐standardized values, which puts us in a position to investigate numerous scientific questions. Copyright © 2004 John Wiley & Sons, Ltd.</jats:p> |
| container_issue |
23 |
| container_start_page |
3641 |
| container_title |
Statistics in Medicine |
| container_volume |
23 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792338830283505666 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T15:37:46.567Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Modelling+neuromotor+ratings+with+floor%E2%80%90effects&rft.date=2004-12-15&genre=article&issn=1097-0258&volume=23&issue=23&spage=3641&epage=3653&pages=3641-3653&jtitle=Statistics+in+Medicine&atitle=Modelling+neuromotor+ratings+with+floor%E2%80%90effects&aulast=Rousson&aufirst=Valentin&rft_id=info%3Adoi%2F10.1002%2Fsim.1914&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792338830283505666 |
| author | Gasser, Theo, Rousson, Valentin |
| author_facet | Gasser, Theo, Rousson, Valentin, Gasser, Theo, Rousson, Valentin |
| author_sort | gasser, theo |
| container_issue | 23 |
| container_start_page | 3641 |
| container_title | Statistics in Medicine |
| container_volume | 23 |
| description | <jats:title>Abstract</jats:title><jats:p>Associated movements (AMs) are a classical diagnostic tool to assess differences between normal children and children with some motor dysfunction. This paper presents a methodology to produce age‐ and gender‐dependent reference‐curves for AMs of normal children, for various tasks of a test battery. Data available consist of separate ratings of duration and extent of AMs, which are ordinal quantities with few levels. Other problems are severe age‐ and gender‐dependent floor‐effects (as well as some ceiling‐effects), leaving little information for analysis at older ages. To get a better scale, we combined the two ordinal ratings into one meaningful and quasi‐continuous quantity referred to as intensity of AMs. In order to solve problems due to floor‐effects, ceiling‐effects and discreteness, we assumed left‐ , right‐ and interval‐censored values, respectively. We considered a censored regression problem and postulated a truncated normal distribution for the non‐censored values (after an appropriate transformation of the data). Using Wei and Tanner's poor man's data augmentation algorithm, together with the technique of linear mixed effects modelling, useful reference‐curves could be produced. In contrast to the cumulative probabilities approach for ordinal data, our methodology allows the calculation of individual age‐ and gender‐standardized values, which puts us in a position to investigate numerous scientific questions. Copyright © 2004 John Wiley & Sons, Ltd.</jats:p> |
| doi_str_mv | 10.1002/sim.1914 |
| facet_avail | Online |
| finc_class_facet | Mathematik, Medizin |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAwMi9zaW0uMTkxNA |
| imprint | Wiley, 2004 |
| imprint_str_mv | Wiley, 2004 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
| issn | 0277-6715, 1097-0258 |
| issn_str_mv | 0277-6715, 1097-0258 |
| language | English |
| last_indexed | 2024-03-01T15:37:46.567Z |
| match_str | gasser2004modellingneuromotorratingswithflooreffects |
| mega_collection | Wiley (CrossRef) |
| physical | 3641-3653 |
| publishDate | 2004 |
| publishDateSort | 2004 |
| publisher | Wiley |
| record_format | ai |
| recordtype | ai |
| series | Statistics in Medicine |
| source_id | 49 |
| spelling | Gasser, Theo Rousson, Valentin 0277-6715 1097-0258 Wiley Statistics and Probability Epidemiology http://dx.doi.org/10.1002/sim.1914 <jats:title>Abstract</jats:title><jats:p>Associated movements (AMs) are a classical diagnostic tool to assess differences between normal children and children with some motor dysfunction. This paper presents a methodology to produce age‐ and gender‐dependent reference‐curves for AMs of normal children, for various tasks of a test battery. Data available consist of separate ratings of duration and extent of AMs, which are ordinal quantities with few levels. Other problems are severe age‐ and gender‐dependent floor‐effects (as well as some ceiling‐effects), leaving little information for analysis at older ages. To get a better scale, we combined the two ordinal ratings into one meaningful and quasi‐continuous quantity referred to as intensity of AMs. In order to solve problems due to floor‐effects, ceiling‐effects and discreteness, we assumed left‐ , right‐ and interval‐censored values, respectively. We considered a censored regression problem and postulated a truncated normal distribution for the non‐censored values (after an appropriate transformation of the data). Using Wei and Tanner's poor man's data augmentation algorithm, together with the technique of linear mixed effects modelling, useful reference‐curves could be produced. In contrast to the cumulative probabilities approach for ordinal data, our methodology allows the calculation of individual age‐ and gender‐standardized values, which puts us in a position to investigate numerous scientific questions. Copyright © 2004 John Wiley & Sons, Ltd.</jats:p> Modelling neuromotor ratings with floor‐effects Statistics in Medicine |
| spellingShingle | Gasser, Theo, Rousson, Valentin, Statistics in Medicine, Modelling neuromotor ratings with floor‐effects, Statistics and Probability, Epidemiology |
| title | Modelling neuromotor ratings with floor‐effects |
| title_full | Modelling neuromotor ratings with floor‐effects |
| title_fullStr | Modelling neuromotor ratings with floor‐effects |
| title_full_unstemmed | Modelling neuromotor ratings with floor‐effects |
| title_short | Modelling neuromotor ratings with floor‐effects |
| title_sort | modelling neuromotor ratings with floor‐effects |
| title_unstemmed | Modelling neuromotor ratings with floor‐effects |
| topic | Statistics and Probability, Epidemiology |
| url | http://dx.doi.org/10.1002/sim.1914 |