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  • Alport syndrome  (1)
  • Asymptotic approximations  (1)
  • 1
    ISSN: 1432-198X
    Keywords: Key words Fechtner syndrome ; Alport syndrome ; Thrombocytopenia ; End-stage renal disease ; Adolescent
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  Fechtner syndrome, a disease in the spectrum of the hereditary nephridites, is a macrothrombocytopenia associated with sensorineural hearing loss, cataracts, nephritis, and characteristic leukocyte inclusions. Renal biopsy findings are consistent with those of Alport syndrome, and the associated renal disease is said to be unusual before mid to late adulthood. Here, we review the available literature on this disease and report two African-American pediatric patients with Fechtner syndrome who rapidly progressed to end-stage renal disease during adolescence. We conclude that chronic renal failure can occur at a young age in patients with Fechtner syndrome, with a possible relation to race/ethnicity. Fechtner syndrome, or other variants of Alport syndrome, need to be considered in patients presenting with proteinuria and thrombocytopenia.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Statistics and computing 2 (1992), S. 161-171 
    ISSN: 1573-1375
    Keywords: Asymptotic approximations ; bootstrap calibration ; coverage accuracy ; resampling ; saddlepoint methods ; tail probability approximations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Standard algorithms for the construction of iterated bootstrap confidence intervals are computationally very demanding, requiring nested levels of bootstrap resampling. We propose an alternative approach to constructing double bootstrap confidence intervals that involves replacing the inner level of resampling by an analytical approximation. This approximation is based on saddlepoint methods and a tail probability approximation of DiCiccio and Martin (1991). Our technique significantly reduces the computational expense of iterated bootstrap calculations. A formal algorithm for the construction of our approximate iterated bootstrap confidence intervals is presented, and some crucial practical issues arising in its implementation are discussed. Our procedure is illustrated in the case of constructing confidence intervals for ratios of means using both real and simulated data. We repeat an experiment of Schenker (1985) involving the construction of bootstrap confidence intervals for a variance and demonstrate that our technique makes feasible the construction of accurate bootstrap confidence intervals in that context. Finally, we investigate the use of our technique in a more complex setting, that of constructing confidence intervals for a correlation coefficient.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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